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Design and implementation of auto-attendant system for the TUC campus using speech recognition

机译:TUC校园语音识别自动值班系统的设计与实现

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We present an auto-attendant system, which is based on a statistical speech recognizer and has been developed for the Technical University of Crete (TUC) Campus. Auto-attendants allow remote callers to reach a person or department by simply speaking an appropriate name. This is the first speech recognition system in Greece operating in continuous speech and speaker-independent modes, and we describe our approaches for solving several special phenomena specific to the Greek language. The high recognition accuracy of the engine supports several hundreds of names. Evaluation on our database yielded more than 97.5% name retrieval for a dictionary of 350 names of persons and services.
机译:我们提出了一种基于统计语音识别器的自动话务员系统,该系统是为克里特工业大学(TUC)校园开发的。自动话务员允许远程呼叫者通过简单地说出适当的姓名就可以联系到个人或部门。这是希腊第一个以连续语音和独立于说话者的方式运行的语音识别系统,我们描述了解决几种特定于希腊语言的特殊现象的方法。引擎的高识别精度支持数百个名称。对我们的数据库进行的评估得出,对于包含350个人员和服务名称的词典,其名称检索率高达97.5%。

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